2007
DOI: 10.1109/tim.2007.904572
|View full text |Cite
|
Sign up to set email alerts
|

Improved Fully Differential Analog Filters

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
9
0

Year Published

2012
2012
2024
2024

Publication Types

Select...
6
1

Relationship

2
5

Authors

Journals

citations
Cited by 14 publications
(9 citation statements)
references
References 10 publications
0
9
0
Order By: Relevance
“…If the circuit is not stable, it must be re-designed on the basis of another SE circuit topology. Not all SE topologies lead to stable FD circuits by mirroring (Massarotto et al, 2007). …”
Section: Proposed Methodsmentioning
confidence: 99%
“…If the circuit is not stable, it must be re-designed on the basis of another SE circuit topology. Not all SE topologies lead to stable FD circuits by mirroring (Massarotto et al, 2007). …”
Section: Proposed Methodsmentioning
confidence: 99%
“…This topology has presented instability problems in FD filters (Massarotto et al, 2007). Appling the proposed method to the SE prototype of Figure 6(a), the CM equivalent circuit, shown in Figure 6(b) results.…”
Section: Sallen-key Topologymentioning
confidence: 99%
“…Also, they are designed for high-frequency applications (hundreds of MHz bandwidth), which results in high power consumption. For instrumentation applications, it is therefore more appropriate to design FD circuits based on SE OAs (Massarotto et al, 2007;Jorgovanovic et al, 2009), which allows the selection of devices with low power consumption, single-supply power sources, low noise figures or rail-torail capability. …”
Section: Introductionmentioning
confidence: 99%
“…7 Approximation theory is concerned with how an arbitrary actual function can be represented by other simple approximating polynomials, such as the Fourier series, 8 the Taylor series, 9 and the Chebyshev series (CSs). 11 For example, during the design process of analogue filter circuits, 12 computer-aided design software uses the actual filter functions to approximate the ideal filter performance. 11 For example, during the design process of analogue filter circuits, 12 computer-aided design software uses the actual filter functions to approximate the ideal filter performance.…”
Section: Introductionmentioning
confidence: 99%
“…10 The approximation method and its accuracy are crucial to computer-aided technology. 11 For example, during the design process of analogue filter circuits, 12 computer-aided design software uses the actual filter functions to approximate the ideal filter performance. Any approximation method certainly introduces errors, E = |P(x) − f(x)|, where P(x) is the approximating polynomial, f(x) is the actual function, and E is the introduced error.…”
Section: Introductionmentioning
confidence: 99%